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The Dynamics of Franchise Contracting: Evidence from Panel Data

Francine Lafontaine, +1 more
- 01 Oct 1999 - 
- Vol. 107, Iss: 5, pp 1041-1080
TLDR
In this paper, the authors provide the first systematic evidence on how franchisors adjust their royalty rates and franchise fees as they gain fran-chising experience, and they conclude that variation in contract terms is mostly determined by differences across firms, not by within firms changes over time.
Abstract
This paper provides the first systematic evidence on how franchi‐sors adjust their royalty rates and franchise fees as they gain fran‐chising experience. This evidence comes from a unique panel data set that we assembled on these monetary contract terms for about 1,000 franchisors each year for the 1980–92 period. We find that there is much persistence, over time, in franchise contract terms within firms. We find this despite sizable across‐firm differences in royalty rates and franchise fees. In addition, franchisors do not systematically increase or decrease their royalty rates or franchise fees as they become better established, contrary to predictions from some specific theoretical models. We conclude that variation in contract terms is mostly determined by differences across firms, not by within‐firm changes over time. Finally, we find no negative relationship, within firms, between up‐front franchise fees and royalty rates.

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Four formal(izable) theories of the firm

TL;DR: In this paper, the authors define and compare elemental versions of four theories of the firm, which are distilled from important contributions by Hart, Holmstrom, Klein, Williamson, and others.
References
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Journal ArticleDOI

A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity

Halbert White
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TL;DR: In this article, a parameter covariance matrix estimator which is consistent even when the disturbances of a linear regression model are heteroskedastic is presented, which does not depend on a formal model of the structure of the heteroSkewedness.
Journal ArticleDOI

Sample Selection Bias as a Specification Error

James J. Heckman
- 01 Jan 1979 - 
TL;DR: In this article, the bias that results from using non-randomly selected samples to estimate behavioral relationships as an ordinary specification error or "omitted variables" bias is discussed, and the asymptotic distribution of the estimator is derived.
Book

Analysis of Panel Data

TL;DR: In this paper, the authors propose a homogeneity test for linear regression models (analysis of covariance) and show that linear regression with variable intercepts is more consistent than simple regression with simple intercepts.
Journal ArticleDOI

Incentives and risk-sharing in sharecropping

TL;DR: In this article, the authors formulate a simple general equilibrium model of a competitive agricultural economy, based on the risk sharing and incentive properties of alternative distribution systems, which is of interest not only for extending our understanding of these simple economies but also in gaining some insight into the far more complex phenomena of shareholding in modern corporations.
Journal ArticleDOI

Agency Theory and Franchising: Some Empirical Results

TL;DR: In this article, the authors provide an empirical assessment of various agency-theoretic explanations for franchising, including risk sharing, one-sided moral hazard, and two-sided Moral Hazard.
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